Non-invasive biomedical research and diagnostics enabled by innovative compact lasers
| Autor: | Edik U. Rafailov, Sergei G. Sokolovski, Andrey V. Dunaev, Litvinova Ks, Ilya E. Rafailov |
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| Rok vydání: | 2017 |
| Předmět: |
Alternative methods
Medical diagnostic Technological revolution Computer science Non invasive Statistical and Nonlinear Physics Nanotechnology 02 engineering and technology 021001 nanoscience & nanotechnology Laser 01 natural sciences Atomic and Molecular Physics and Optics Field (computer science) Electronic Optical and Magnetic Materials Semiconductor laser theory law.invention 010309 optics Laser technology law 0103 physical sciences Systems engineering Electrical and Electronic Engineering 0210 nano-technology |
| Zdroj: | Progress in Quantum Electronics. 56:1-14 |
| ISSN: | 0079-6727 1873-1627 |
| Popis: | For over half a century, laser technology has undergone a technological revolution. These technologies, particularly semiconductor lasers, are employed in a myriad of fields. Optical medical diagnostics, one of the emerging areas of laser application, are on the forefront of application around the world. Optical methods of non- or minimally invasive bio-tissue investigation offer significant advantages over alternative methods, including rapid real-time measurement, non-invasiveness and high resolution (guaranteeing the safety of a patient). These advantages demonstrate the growing success of such techniques. In this review, we will outline the recent status of laser technology applied in the biomedical field, focusing on the various available approaches, particularly utilising compact semiconductor lasers. We will further consider the advancement and integration of several complimentary biophotonic techniques into single multimodal devices, the potential impact of such devices and their future applications. Based on our own studies, we will also cover the simultaneous collection of physiological data with the aid a multifunctional diagnostics system, concentrating on the optimisation of the new technology towards a clinical application. Such data is invaluable for developing algorithms capable of delivering consistent, reliable and meaningful diagnostic information, which can ultimately be employed for the early diagnosis of disease conditions in individuals from around the world. |
| Databáze: | OpenAIRE |
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